Jinyun Tang

10.4k citations
79 papers · 2.7k indexed · 1 hit paper · h-index 30
Topics
Soil Carbon and Nitrogen Dynamics (36 papers)Plant Water Relations and Carbon Dynamics (17 papers)Soil and Water Nutrient Dynamics (17 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Jinyun Tang

76 papers receiving 2.7k citations

Hit Papers

Knowledge-guided machine learning can improve carbon cycl...2024202620252024204060

Peers

Jinyun Tang
Comparison fields: 5 of 98
  • Soil Science 1.3k
  • Ecology 1.0k
  • Global and Planetary Change 978
  • Environmental Chemistry 567
  • Atmospheric Science 480
Replace Jeroen Staelens with:
Jeroen Staelens Belgium
Joachim Ingwersen Germany
Sharon Billings United States
Ulrik Ilstedt Sweden
Rainer Gasché Germany
Joseph C. von Fischer United States
Changchun Song China
Bruno Ringeval France
Xiaofeng Chang China
Jinyun Tang relative to Jeroen Staelens Belgium Jeroen Staelens's profile →
Citations per field
00.5×10×15×
Jeroen Staelens · 1×
Citations per year

Countries citing papers authored by Jinyun Tang

Since Specialization
Citations

This map shows the geographic impact of Jinyun Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jinyun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyun Tang more than expected).

Fields of papers citing papers by Jinyun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinyun Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jinyun Tang. The network helps show where Jinyun Tang may publish in the future.

Co-authorship network of co-authors of Jinyun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinyun Tang. A scholar is included among the top collaborators of Jinyun Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinyun Tang. Jinyun Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 4
5 2
6 2
7 4
8
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystemsbreakdown →
60
9 5
10 12
11 34
12 0
13 0
14 4
15 2
16 94
17 29
18 37
19 68
20 101

About Jinyun Tang

Jinyun Tang is a scholar working on Soil Science, Environmental Chemistry and Global and Planetary Change, having authored 79 papers that have together received 2.7k indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (36 papers), Plant Water Relations and Carbon Dynamics (17 papers) and Soil and Water Nutrient Dynamics (17 papers). The work is most often cited by research in Soil Science (1.3k citations), Environmental Chemistry (567 citations) and Global and Planetary Change (978 citations). Jinyun Tang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include W. J. Riley, Qianlai Zhuang, Qing Zhu, Charles D. Koven, Margaret Torn, Nicholas Bouskill, Z. M. Subin, S. C. Swenson, William D. Collins and David M. Lawrence. Their work appears in journals such as Nature Communications, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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